Developer Automates Restaurant Lead Generation Using UberEats Data and Apify

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A developer built an automated lead-generation pipeline for agencies selling services to restaurants by scraping UberEats data via an Apify actor called UberEats Stores Search by Location and Keyword. The tool accepts a list of target city addresses and a search keyword, then returns structured data including restaurant names, URLs, ratings, review counts, and estimated delivery times. Using Python and the Apify client, the developer filtered results to identify high-rated but low-review restaurants as prime outreach targets, as well as poorly rated or slow-delivery venues suited for specific sales pitches. The entire process, from setup to a exportable CSV lead list, reportedly takes around 10 minutes and can be rerun monthly to keep territory data fresh. The approach is presented as a faster, maintenance-free alternative to manually scraping UberEats or building a custom web scraper.

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